1th of 1 Questions.
What are middlewares in langchain?
In LangChain, middleware is a powerful mechanism introduced in version 1.0 that lets you customize and control your AI agent's internal workflow. It operates by providing a set of hooks to run custom logic at specific stages of the agent's core loop, such as before or after the model is called or a tool is executed
Middleware provides a way to more tightly control what happens inside the agent. Middleware is useful for the following:
Tracking agent behavior with logging, analytics, and debugging.
Transforming prompts, tool selection, and output formatting.
Adding retries, fallbacks, and early termination logic.
Applying rate limits, guardrails, and PII detection.
Add middleware by passing them to createAgent: